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Some Processing on Images

A: Data Collection.

1- Dataset collection: Collect hundreds of grayscale images (200 hundred is the minimum). The dataset should include a least 4 categories. (e.g cars, horses, buildings, tigers…). The categories should be balanced (approximately the same number of images for each category).

2- Dataset labeling:

a. Assign a Label to each image. (E.g. For car image assign 1, horse 2, building 3 and tiger 4…).

b. After ordering your images, construct a vector containing the label of each image in same order of the images.

c. Save all images in a directory called ImagesDatayourName

d. Save the list of the image names ordred and its corresponding labeling vector in [url removed, login to view] and [url removed, login to view] files.

3- If needed, enhance or/and restore the images. Explain why it is need and the choice of the performed method.

B: Feature Extraction:

1- For each image from the image Data, extract at least one color feature.

2- Normalize you data. For each Feature, make each entry between 0 and 1 for all images.

3- Save each Feature in an MxN matrix where M is the number of images and N is the dimension of your Feature vector. You have to use the same order of the images as the one in your name and label files.

4- Write a Readme File that describes each Feature used, indicates the corresponding name of the Feature file, and the name of the Matlab function that extract it.

C: Retrieval:

1. Query Image Q (Selection and display): Select and display the query image.

2. Retrieved image Rank 1, 2,3 and 4: Display the resulting retrieved image.

3. Dist(Q,R1), Dist(Q,R2), Dist(Q,R3), Dist(Q,R4): display the distance between the query and the retrieved image under the retrieved one.

4. Score of this retrieval: evaluates the current retrieval.

Final Report:-

The final report should roughly have the following format:

 Introduction - Motivation

 Problem definition

 Proposed method

 Experiments

o Details of the experiments; observations

 Conclusions


1- already cllected 200 images and renamed it here:

[url removed, login to view]!aJcw1aKb!WshRnDB9RtSgl412E0OGh6KyFXX3GQVZdakVpJYbjqA

2- you need to change all the images to grayscale before you start working,

the images look like grayscale but the Matlab consider it RGB.

Habilidades: Matlab and Mathematica

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( 0 comentários ) Saudi Arabia

ID do Projeto: #6824989

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I have done work on image database....the image processing algorithm applied to each image and see the discrimination of the result

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sir i can help you with this project hopping for your consideration .....................................................................................

$200 USD em 1 dia
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Please check my profile for more information. I can use content to retrieve the images and be like UI for handy usage.

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I have already worked one Content Based image retrieval earlier. This project is also similar to that where we extract feature from each of the image from the training dataset. I can do this job for you. Kindly reply i Mais

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I'm a PhD student in Engineering with a Master's in Statistics. Expert in Matlab, Econometric and statistical modeling of pretty much everything you can think of. These include expertise on protocol development, resear Mais

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Hello, I am a PhD student in Control Engineering. I think we have talked earlier. I have done image retrieval projects before. You can see from my profile. I can complete your project in 2 days maximum 1 day regular. L Mais

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Please refer to my profile on my CBIR experience and image processing knowledge

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I'm really good at image processing. I think I can do this. I'm also really comfortable with matlab. I f you are interested please contact me.

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